Kazuhiko Tsuruya

11.3k total citations
399 papers, 7.1k citations indexed

About

Kazuhiko Tsuruya is a scholar working on Nephrology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kazuhiko Tsuruya has authored 399 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 259 papers in Nephrology, 64 papers in Surgery and 64 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kazuhiko Tsuruya's work include Dialysis and Renal Disease Management (119 papers), Chronic Kidney Disease and Diabetes (73 papers) and Parathyroid Disorders and Treatments (57 papers). Kazuhiko Tsuruya is often cited by papers focused on Dialysis and Renal Disease Management (119 papers), Chronic Kidney Disease and Diabetes (73 papers) and Parathyroid Disorders and Treatments (57 papers). Kazuhiko Tsuruya collaborates with scholars based in Japan, United States and United Kingdom. Kazuhiko Tsuruya's co-authors include Takanari Kitazono, Hideki Hirakata, Masanori Tokumoto, Masatomo Taniguchi, Toshiaki Nakano, Shunsuke Yamada, Mitsuo Iida, Toshiharu Ninomiya, Kunitoshi Iseki and Kosuke Masutani and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kazuhiko Tsuruya

374 papers receiving 7.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazuhiko Tsuruya Japan 44 3.6k 1.1k 988 981 971 399 7.1k
Tae‐Hyun Yoo South Korea 45 4.4k 1.2× 1.1k 1.0× 1.1k 1.1× 717 0.7× 1.6k 1.7× 371 8.6k
Seung Hyeok Han South Korea 45 4.6k 1.3× 1.1k 1.1× 1.3k 1.3× 776 0.8× 1.8k 1.9× 362 9.1k
Ichiei Narita Japan 46 3.3k 0.9× 791 0.7× 1.3k 1.3× 875 0.9× 1.8k 1.9× 560 9.2k
Anna Köttgen Germany 39 2.9k 0.8× 834 0.8× 911 0.9× 744 0.8× 1.9k 1.9× 158 7.4k
Gabriel Choukroun France 48 3.5k 1.0× 1.3k 1.2× 978 1.0× 654 0.7× 2.1k 2.1× 228 8.4k
Frederick J. Kaskel United States 36 4.2k 1.2× 621 0.6× 966 1.0× 1.3k 1.3× 1.3k 1.4× 138 8.2k
Juan F. Navarro‐González Spain 45 3.8k 1.1× 871 0.8× 1.0k 1.0× 658 0.7× 1.7k 1.7× 212 8.1k
An S. De Vriese Belgium 50 3.5k 1.0× 1.3k 1.2× 1.4k 1.4× 525 0.5× 2.0k 2.1× 173 8.9k
Hideki Hirakata Japan 43 2.7k 0.8× 645 0.6× 648 0.7× 695 0.7× 660 0.7× 161 5.8k
Tsuyoshi Watanabe Japan 43 2.3k 0.7× 1.3k 1.2× 923 0.9× 466 0.5× 1.2k 1.2× 222 6.5k

Countries citing papers authored by Kazuhiko Tsuruya

Since Specialization
Citations

This map shows the geographic impact of Kazuhiko Tsuruya's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kazuhiko Tsuruya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiko Tsuruya more than expected).

Fields of papers citing papers by Kazuhiko Tsuruya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kazuhiko Tsuruya. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kazuhiko Tsuruya. The network helps show where Kazuhiko Tsuruya may publish in the future.

Co-authorship network of co-authors of Kazuhiko Tsuruya

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiko Tsuruya. A scholar is included among the top collaborators of Kazuhiko Tsuruya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuhiko Tsuruya. Kazuhiko Tsuruya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eriguchi, Masahiro, Hiroyuki Tamaki, Mari Nakanishi, et al.. (2025). Fibroblast Growth Factor 23, Urinary Phosphate, and Risk of Progression of CKD. Clinical Journal of the American Society of Nephrology. 21(2). 201–210.
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Imaizumi, Takahiro, Takeshi Hasegawa, Hiroki Nishiwaki, et al.. (2025). Renal anemia and hyporesponsiveness to ESA for preservation of residual kidney function in patients undergoing peritoneal dialysis. Scientific Reports. 15(1). 2689–2689.
4.
Tanaka, Shigeru, et al.. (2024). Estimated potassium intake and the progression of chronic kidney disease. Nephrology Dialysis Transplantation. 40(7). 1362–1373. 3 indexed citations
5.
Nakahara, Takako, Hajime Nagasu, Seiji Kishi, et al.. (2024). Association between proteinuria and mineral metabolism disorders in chronic kidney disease: the Japan chronic kidney disease database extension (J-CKD-DB-Ex). Scientific Reports. 14(1). 27481–27481. 1 indexed citations
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Tsuruya, Kazuhiko, Hisako Yoshida, Shunsuke Yamada, et al.. (2023). More rapid progression of brain atrophy in patients on peritoneal dialysis compared with hemodialysis: The VCOHP Study. Hypertension Research. 47(4). 887–897. 2 indexed citations
10.
Nakayama, Masaru, Naoki Haruyama, Akiko Fukui, et al.. (2023). Association between iron status markers and kidney outcome in patients with chronic kidney disease. Scientific Reports. 13(1). 6 indexed citations
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Tanaka, Shigeru, Toshiaki Nakano, Kazuhiko Tsuruya, & Takanari Kitazono. (2021). Clinical epidemiological analysis of cohort studies investigating the pathogenesis of kidney disease. Clinical and Experimental Nephrology. 26(1). 1–12. 1 indexed citations
13.
Otaki, Yoichiro, Tetsu Watanabe, Tetsu Watanabe, et al.. (2020). Impact of calculated plasma volume status on all-cause and cardiovascular mortality: 4-year nationwide community-based prospective cohort study. PLoS ONE. 15(8). e0237601–e0237601. 16 indexed citations
14.
Fukui, Akiko, Masaru Nakayama, Shigeru Tanaka, et al.. (2020). Association between urinary salt excretion and albuminuria in Japanese patients with chronic kidney disease: the Fukuoka kidney disease registry study. Clinical and Experimental Nephrology. 25(1). 9–18. 1 indexed citations
15.
Nakano, Toshiaki, et al.. (2020). The glucose degradation product methylglyoxal induces immature angiogenesis in patients undergoing peritoneal dialysis. Biochemical and Biophysical Research Communications. 525(3). 767–772. 8 indexed citations
16.
Hatano, Yu, Yuichiro Yano, Shouichi Fujimoto, et al.. (2020). The Population-Attributable Fraction for Premature Mortality Due to Cardiovascular Disease Associated With Stage 1 and 2 Hypertension Among Japanese. American Journal of Hypertension. 34(1). 56–63. 8 indexed citations
17.
Yamada, Shunsuke, Masatomo Taniguchi, Masanori Tokumoto, et al.. (2020). Modified creatinine index and risk for long-term infection-related mortality in hemodialysis patients: ten-year outcomes of the Q-Cohort Study. Scientific Reports. 10(1). 1241–1241. 17 indexed citations
18.
Nakagawa, Takashi, Akihiro Tamae, Takamasa Yoshida, et al.. (2018). Evaluation of the Effects of Chronic Kidney Disease and Hemodialysis on the Inner Ear Using Multifrequency Tympanometry. The Journal of International Advanced Otology. 14(3). 447–450. 3 indexed citations
19.
Nakayama, Masaru, Shigeru Tanaka, Ryota Yoshitomi, et al.. (2015). Association of serum total bilirubin with renal outcome in Japanese patients with stages 3–5 chronic kidney disease. Metabolism. 64(9). 1096–1102. 29 indexed citations
20.
Yamada, Shunsuke, Masanori Tokumoto, Narihito Tatsumoto, et al.. (2014). Phosphate overload directly induces systemic inflammation and malnutrition as well as vascular calcification in uremia. American Journal of Physiology-Renal Physiology. 306(12). F1418–F1428. 142 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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